Job Description
Join QuantumLeap AI's pioneering team at the forefront of artificial intelligence innovation. We're revolutionizing healthcare diagnostics through advanced neural networks and predictive analytics. As a Senior Machine Learning Engineer, you'll architect cutting-edge solutions that directly impact patient outcomes while working alongside world-class researchers in our state-of-the-art downtown San Francisco lab. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier AI conferences.
Responsibilities
- Design and implement scalable ML pipelines for medical image analysis
- Lead model optimization and deployment for real-time diagnostic systems
- Collaborate with cross-functional teams to translate research into production-ready solutions
- Conduct rigorous A/B testing and performance analysis of AI models
- Mentor junior engineers and stay current with latest ML research
- Present findings to technical and non-technical stakeholders
Qualifications
- MS/PhD in Computer Science, Mathematics, or related field
- 5+ years of production ML experience with deep learning frameworks
- Expertise in computer vision and NLP techniques
- Strong programming skills in Python and distributed computing
- Published research in machine learning or related fields
- Experience with MLOps tools and cloud platforms (AWS/GCP)
- Strong problem-solving skills and attention to detail